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Feature market insights and perspectives from top C-Level executives, elite technology influencers and thought leaders from your company here. This signature initiative has garnered immense support...
itweb.co | February 28, 2020
Most companies know that the time for playing around and experimenting with analytics is over. In fact, breakaway companies scale analytics by significantly outperforming in three categories aligning with strategy; building the right foundations of data, technologies and people; and conquering the last mile by embedding analytics into decision-making and processes. So says Michael Corcoran, senior VP at Information Builders, who will be presenting on ‘Accelerating the time to value from da...
techerati.com | February 12, 2020
Artificial intelligence (AI) has become integrated into our everyday lives. It powers what we see in our social media newsfeeds, activates facial recognition (to unlock our smartphones), and even suggests music for us to listen to. Machine learning, a subset of AI, is progressively integrating into our everyday and changing how we live and make decisions. Business changes all the time, but advances in today’s technologies have accelerated the pace of change. Machine learning analyses histo...
Privacera | October 15, 2020
Privacera, the cloud data governance and security leader founded by the creators of Apache Ranger™, today announced the general availability of version 4.0 of the Privacera Platform, an enterprise data governance and security solution for machine learning and analytic workloads in the public cloud. Driven by increasing customer demand, Privacera 4.0's new features include: access workflows for faster on-boarding and customized data access; expanded discovery for seamless data tagging i...
healthrecoverysolutions.com | March 11, 2020
There are innumerable ways in which machine learning and big data are starting to impact the healthcare industry. Artificial Intelligence (AI) can ease clinician workload by helping aid decision-making. This can include predicting which patients are most at-risk of a readmission, detecting anomalies like tumors in imaging data, and/or predicting heart conditions from smart watch data.Machine learning algorithms are any algorithms that are not explicitly programmed and instead use a large trainin...
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